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NumPy : beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library /
This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and poi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
|
| Edición: | 3rd edition. |
| Colección: | Learn by doing : less theory, more results.
|
| Temas: | |
| Acceso en línea: | Texto completo Texto completo |
MARC
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| 100 | 1 | |a Idris, Ivan, |e author. | |
| 245 | 1 | 0 | |a NumPy : |b beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library / |c Ivan Idris. |
| 246 | 3 | 0 | |a Build efficient, high-speed programs using the high-performance NumPy mathematical library |
| 250 | |a 3rd edition. | ||
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file | ||
| 490 | 1 | |a Learn by doing : less theory, more results | |
| 588 | 0 | |a Online resource; title from cover (Safari, viewed July 6, 2015). | |
| 500 | |a Includes index. | ||
| 505 | 0 | |a Chapter 1: NumPy Quick Start -- Chapter 2: Beginning with NumPy Fundamentals -- Chapter 3: Getting Familiar with Commonly Used Functions -- Chapter 4: Convenience Functions for Your Convenience -- Chapter 5: Working with Matrices and ufuncs -- Chapter 6: Moving Further with NumPy Modules -- Chapter 7: Peeking Into Special Routines -- Chapter 8: Assure Quality with Testing -- Chapter 9: Plotting with matplotlib -- Chapter 10: When NumPy is Not enough -- SciPy and Beyond. | |
| 520 | 1 | |a This book is for the scientists, engineers, programmers, or analysts looking for a high-quality, open source mathematical library. Knowledge of Python is assumed. Also, some affinity, or at least interest, in mathematics and statistics is required. However, I have provided brief explanations and pointers to learning resources. | |
| 546 | |a English. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Numerical analysis |x Data processing. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Analyse numérique |x Informatique. | |
| 650 | 7 | |a COMPUTERS |x General. |2 bisacsh | |
| 650 | 7 | |a Numerical analysis |x Data processing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Idris, Ivan. |t NumPy beginner's guide : build efficient, high-speed programs using the high-performance NumPy mathematical library. |b Third edition. |d Birmingham, England : Packt Publishing, ©2015 |h xvi, 317 pages |z 9781785281969 |
| 830 | 0 | |a Learn by doing : less theory, more results. | |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781785281969/?ar |z Texto completo |
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